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Multi-Agent-Deep-Deterministic-Policy-Gradients
Python

Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

by philtabor · GitHub
381
Stars
79
Forks
2021
Created
5 yr ago
Last commit
actor-critic-algorithm
Category
Python
Language
actor-critic-algorithmactor-critic-methodsdeep-reinforcement-learningPython
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In plain words

Implement a system that allows multiple agents to learn and make decisions in cooperative and competitive environments.

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A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Multi-Agent-Deep-Deterministic-Policy-Gradients has 381 stars on GitHub. It has been forked 79 times. Multi-Agent-Deep-Deterministic-Policy-Gradients is written mainly in Python. It has been in active development since 2021. Its main topics are actor-critic-algorithm, actor-critic-methods, deep-reinforcement-learning, maddpg.

❓ Frequently asked questions

What is Multi-Agent-Deep-Deterministic-Policy-Gradients?

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Is Multi-Agent-Deep-Deterministic-Policy-Gradients open source?

Multi-Agent-Deep-Deterministic-Policy-Gradients is an open-source project.

Is Multi-Agent-Deep-Deterministic-Policy-Gradients free?

Yes. Multi-Agent-Deep-Deterministic-Policy-Gradients is free and open source — you can use, modify and self-host it.

What language is Multi-Agent-Deep-Deterministic-Policy-Gradients written in?

Multi-Agent-Deep-Deterministic-Policy-Gradients is written mainly in Python.

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